Optimizing Ultrasonic Welding Parameters for Multilayer Lap Joints of PEEK and Carbon Fibers by Neural Network Simulation

The aim of this study is to substantiate the use machine learning methods to optimize a combination of ultrasonic welding (USW) parameters for manufacturing of multilayer lap joints consisting of two outer PEEK layers, a middle prepreg of unidirectional carbon fibers (CFs), and two energy directors...

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Detalles Bibliográficos
Autores principales: Panin, Sergey V., Stepanov, Dmitry Yu., Byakov, Anton V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572884/
https://www.ncbi.nlm.nih.gov/pubmed/36234280
http://dx.doi.org/10.3390/ma15196939

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572884/
https://www.ncbi.nlm.nih.gov/pubmed/36234280
http://dx.doi.org/10.3390/ma15196939

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